🆚 Elasticsearch vs. Solr

Type

Site search software
Site search software

About

Elasticsearch is an open-source, distributed, JSON-based search and analytics engine, scalable data store, and vector database built on Apache Lucene.

Solr is an open-source enterprise search server built on the Apache Lucene information retrieval library that provides full-text, faceted, and geospatial search over HTTP APIs.

It supports advanced query parsers and hit highlighting, schema-based and schemaless indexing, distributed indexing and fault-tolerant search with SolrCloud, and parsing of rich documents such as PDFs, Microsoft Word, Microsoft Excel, PowerPoint, HTML, and OpenDocument formats.

Headquarters

Amsterdam, Netherlands
Wilmington, Delaware, United States

Website

Pricing

Free version ✔️Self-managed, open source
Elastic Cloud Hosted
Standard$99+/month
Gold$114+/month
Platinum$131+/month
Enterprise$184+/month
Free ✔️Open source

Categories

Site Search › Rank #4
Site Search › Rank #3

Popularity

Determined by the number of sites using each technology.

The Solr site search software is 1.1 times more popular than Elasticsearch.
Total websites

Market share

Site Search

Popularity by country

Determined by the number of sites detected from each country.

Solr is more popular in the United States, Germany, and the United Kingdom, while Elasticsearch is more popular in France, the Netherlands, and Taiwan.
United States
Germany
France
United Kingdom
Australia
Netherlands
Taiwan
Canada
Switzerland
Norway

Awards

Popularity by domain category

Determined by the number of sites in each category.

Solr is more popular among sites focused on business, marketing and merchandising, and education and reference, while Elasticsearch is more commonly used on online shopping, general news, and entertainment sites.
Business
Marketing/Merchandising
Online Shopping
Education/Reference
Health
General News
Entertainment
Finance/Banking
Blogs/Wiki
Travel

Top sites

Top-ranked sites that use these technologies.

Name
Rank
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Name
Rank
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See also

🗃️ About This Data